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Rajiv Sharma is listed as Machine Learning Engineer @ Keyward | Developing AI Solutions at Keyward, based in Berlin, Germany. AeroLeads shows a matched LinkedIn profile for Rajiv Sharma.
Rajiv Sharma previously worked as Machine Learning Engineer at Keyward and Work Student/ Part-time at Keyward. Rajiv Sharma holds Master Of Science - Ms, Computer Aided Mechanical Engineering, 1.9 from Rwth Aachen University.
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As a machine learning engineer at Keyward, I develop AI solutions for engineering software that reduce the energy consumption and improve the accuracy of design evaluation for manufacturers. I work with a team of experts in fluid mechanics, computer science, and machine learning to create models that predict aerodynamics.My passion for engineering simulations and computing led me to pursue a master's degree in computer aided mechanical engineering from RWTH Aachen University, where I completed a thesis on unsteady flow prediction using PINNs. I also obtained multiple certifications in MATLAB, OpenFOAM, and Ansys, and gained hands-on experience as a work student and part-time employee at Keyward. I am proficient in Python, MATLAB, Ansys, and AWS, and I enjoy learning new tools and techniques to enhance my skills and knowledge.
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Berlin, Germany
Outfitting breakthrough engineering software with AI, Keyward’s first product cuts down manufacturers’ energy intensive design evaluation cycle by half and delivers more accurate results than traditional CFD simulations and other methods.• Developing Machine Learning models for predicting aerodynamics
Berlin, Germany
• Execution of vehicle aerodynamic simulations using OpenFOAM• Running simulations using AWS HPC; Processing and documentation of the simulation results• Developing scripts to automate post-processing using Paraview and Python
Aachen, North Rhine-Westphalia, Germany
Prediction of unsteady flows using Physics Informed Neural Networks (PINNs).
Aachen, North Rhine-Westphalia, Germany
Generation of optimal dynamic mesh to capture chip generation and model the effects of cutting fluid on the tool temperature during 2D orthogonal cutting using OpenFOAM.
Germany
• Transient hypersonic flow simulations in airbag manifolds using STAR-CCM+.• Analysis of trigger functions and implementation of adaptive mesh refinement to increase efficiency of simulations. • Validation by comparing data against a mesh independent solution obtained by a mesh sensitivity study.
Aachen, North Rhine-Westphalia, Germany
Creation of a cartesian mesh for faster convergence and numerical optimization of the boundary conditions at the rotor-stator-cavity for LES of 'Rim Seal Flow' in a single-stage axial flow turbine.
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Rajiv Sharma works for Keyward.
Rajiv Sharma is listed as Machine Learning Engineer @ Keyward | Developing AI Solutions at Keyward.
Rajiv Sharma is based in Berlin, Germany while working with Keyward.
Rajiv Sharma has worked for Keyward, Chair Of Fluid Mechanics And Institute Of Aerodynamics, Chair For Heat And Mass Transfer, Rwth Aachen, Volkswagen Ag, and Bosch India.
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Rajiv Sharma holds Master Of Science - Ms, Computer Aided Mechanical Engineering, 1.9 from Rwth Aachen University.
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